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Updated: May 14, 2026 at 1:21 AM

@Codingdidi

Free learning Resources For Data Analysts, Data science, ML, AI, GEN AI and Job updates, career growth, Tech updates

@codingdidi is a dedicated channel for free and data with regular updates in Courses & Learning

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Latest Posts

@Codingdidi

May 25, 2026, 05:13 AM

🚀 We’re Hiring: AI Engineers & AI Interns!
Excited to share that my team is expanding and we are looking for passionate minds to join us in building the next generation of intelligent solutions! We have openings for both AI Engineers (2-3 years of experience) and curious AI Engineer Interns.
If you are obsessed with moving past basic prompt chaining into the world of agentic workflows, stateful multi-agent systems, and production-grade advanced RAG, this is the place for you.
💻 Tech Stack & Tools we work with:
* Core: Python, PyTorch
* Agentic Frameworks: LangGraph, LlamaIndex Workflows, DSPy, CrewAI / AutoGen
* Vector Databases: Qdrant, Pinecone (Serverless), pgvector, LanceDB
* Protocols & Optimization: Model Context Protocol (MCP), Local fine-tuning & inference (MLX, Unsloth, lmstudio, vllm, ollama, etc)
🌱 What we’re looking for:
For AI Engineers (2-3 YOE):
* Proven experience building and deploying scalable, stateful multi-agent architectures (preferably using LangGraph or advanced event-driven workflows).
* Heavy hands-on experience with production-grade RAG pipelines, payload filtering, and hybrid search optimization using Qdrant, Pinecone, or pgvector.
* Deep understanding of algorithmic prompt optimization and compilation tools like DSPy.
* Ability to optimize model latency, manage context windows efficiently, and handle production data pipelines.
For AI Interns:
* Strong programming fundamentals in Python.
* High curiosity for modern Generative AI paradigms (Agentic AI, Vector search, and Tool Use).
* A self-starting, problem-solving mindset with a drive to learn complex frameworks quickly.
✨ What you’ll gain:
* Practical exposure to shipping state-of-the-art agentic AI features to production.
* Direct mentorship and guidance from experienced engineers pushing the boundaries of LLM tech.
* A fast-paced, high-impact environment where your code directly shapes product capabilities.
If this sounds like you (or someone you know), feel free to reach out or drop your resume to
[email protected]
or [email protected] .
Let’s build something amazing together! 🚀

257

@Codingdidi

May 25, 2026, 05:13 AM

Job Title: Data Platform Engineer / Developer
Location- India
Job Description: This is a critical, high-impact role at the core of our client delivery capability. We are seeking a

Data Platform Engineer with architecture depth who can design and build production-grade


Apply here: https://artha.link/@codingdidi/jobs/data-platform-engineer-brainwave-india-7bd47394

750

@Codingdidi

May 25, 2026, 05:13 AM

🚀 Exciting AI Internship Opportunity Alert! 🚀

We are excited to announce an internship opportunity for an AI Engineer Intern in our Search & Discovery team. This role will contribute to the development of next-generation AI-powered search and recommendation systems. The focus will be on applying Generative AI and Large Language Models (LLMs) to enhance product discovery and improve customer experience.

Please reach out to me directly on Linkedin and also send resume to [email protected]

330

@Codingdidi

May 25, 2026, 05:13 AM

Hiring: C++ & Python Developer (4–6 Years Experience)

We are looking for experienced C++ and Python developers to work on high-performance real-time data systems and scalable backend pipelines. The role involves handling streaming data, low-latency systems, cloud-based infrastructure, and large-scale data processing workflows.

Good to have:
• AWS or cloud platform experience
• Understanding of financial/crypto market data
• Exposure to distributed systems, real-time messaging, data engineering, and high-throughput applications

📍 Location: Mumbai
🏢 Work Mode: WFO – 5 Days a Week

Interested candidates can share their profile at: [email protected]

323

@Codingdidi

May 25, 2026, 05:13 AM

Role: Customer Data Platform Engineer

Required

- 5+ years of experience in Data Engineering, Martech Engineering, CDP, CRM, or related roles
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field is preferred.

Preferred

- Experience with AWS, Azure and/or Google Cloud
- Familiarity with Python, Spark and/or workflow tools such as Airflow

Why join

- Be part of a new strategic organization within Honda
- Work on high-impact business and customer challenges
- Gain exposure to digital platforms, mobility, and growth strategy
- Strong learning and career development opportunities.


Apply Link: https://artha.link/@codingdidi/jobs/customer-data-platform-engineer-honda-bangalore-015ca9fe

602

@Codingdidi

May 25, 2026, 05:13 AM

𝐖𝐢𝐩𝐫𝐨
Position: Junior Data Science
Qualifications: Bachelor’s/ Master’s degree
Experience: Freshers/ Experienced
Location: Bengaluru, India

📌Apply Now: https://careers.wipro.com/job/JUNIR-DATA-SCIENCE/151455-en_US

573

@Codingdidi

May 25, 2026, 05:13 AM

Role: Senior Software Engineer (python + Fastapi + Aws + Generative Ai))
Work Location - Remote (Hybrid for Jaipur and Hyderabad)

Experience - 5-12 years

Skills Required - Python, Fast API, RAG, Gen Ai

Notice Period - Immediate or serving

Apply Link: https://artha.link/@codingdidi/jobs/senior-software-engineer-python-fastapi-programmers-io-uttar-pradesh-4bc7a31d

503

@Codingdidi

May 25, 2026, 05:13 AM

🚀 Key Skills for Aspiring Tech Specialists

📊 Data Analyst:
- Proficiency in SQL for database querying
- Advanced Excel for data manipulation
- Programming with Python or R for data analysis
- Statistical analysis to understand data trends
- Data visualization tools like Tableau or PowerBI
- Data preprocessing to clean and structure data
- Exploratory data analysis techniques

🧠 Data Scientist:
- Strong knowledge of Python and R for statistical analysis
- Machine learning for predictive modeling
- Deep understanding of mathematics and statistics
- Data wrangling to prepare data for analysis
- Big data platforms like Hadoop or Spark
- Data visualization and communication skills
- Experience with A/B testing frameworks

🏗 Data Engineer:
- Expertise in SQL and NoSQL databases
- Experience with data warehousing solutions
- ETL (Extract, Transform, Load) process knowledge
- Familiarity with big data tools (e.g., Apache Spark)
- Proficient in Python, Java, or Scala
- Knowledge of cloud services like AWS, GCP, or Azure
- Understanding of data pipeline and workflow management tools

🤖 Machine Learning Engineer:
- Proficiency in Python and libraries like scikit-learn, TensorFlow
- Solid understanding of machine learning algorithms
- Experience with neural networks and deep learning frameworks
- Ability to implement models and fine-tune their parameters
- Knowledge of software engineering best practices
- Data modeling and evaluation strategies
- Strong mathematical skills, particularly in linear algebra and calculus

🧠 Deep Learning Engineer:
- Expertise in deep learning frameworks like TensorFlow or PyTorch
- Understanding of Convolutional and Recurrent Neural Networks
- Experience with GPU computing and parallel processing
- Familiarity with computer vision and natural language processing
- Ability to handle large datasets and train complex models
- Research mindset to keep up with the latest developments in deep learning

🤯 AI Engineer:
- Solid foundation in algorithms, logic, and mathematics
- Proficiency in programming languages like Python or C++
- Experience with AI technologies including ML, neural networks, and cognitive computing
- Understanding of AI model deployment and scaling
- Knowledge of AI ethics and responsible AI practices
- Strong problem-solving and analytical skills

🔊 NLP Engineer:
- Background in linguistics and language models
- Proficiency with NLP libraries (e.g., NLTK, spaCy)
- Experience with text preprocessing and tokenization
- Understanding of sentiment analysis, text classification, and named entity recognition
- Familiarity with transformer models like BERT and GPT
- Ability to work with large text datasets and sequential data

🌟 Embrace the world of data and AI, and become the architect of tomorrow's technology!

@Codingdidi

May 25, 2026, 05:13 AM

We’re Hiring: DevOps Engineer (Lead / Intermediate) | Toronto (Hybrid)
Looking for your next DevOps opportunity? We’re hiring a hands-on DevOps Engineer to join a leading banking client in Toronto. If you enjoy building CI/CD pipelines and working on real-world deployments, this could be a great fit.

Location: Toronto (Bay Street) – Hybrid (2 days onsite/week)
Type: Contract (12 months + extensions)
Rate: Market rate (40 hours/week)
Start Date: Immediate

What You’ll Do:
• Build GitHub Actions workflows from scratch
• Develop CI/CD pipelines for Java / Spring Boot applications
• Deploy and manage applications on OpenShift (Kubernetes)
• Collaborate with DevOps and development teams
• Troubleshoot and optimize deployment pipelines.

What We’re Looking For:
• 2–5 years of experience (Intermediate to Lead level)
• Strong hands-on experience with GitHub Actions (must-have)
• Experience with Java / Spring Boot
• Hands-on exposure to OpenShift / Kubernetes
• CI/CD pipeline development experience
• Knowledge of Docker and Linux/Unix
• Cloud exposure (AWS/Azure) is a plus.

Ideal Candidate:
• Hands-on contributor with a problem-solving mindset
• Takes ownership and thrives in a fast-paced environment
• Eager to learn and grow

Interested?
DM me or email your resume to [email protected] with details of your experience in GitHub Actions, Spring Boot, and OpenShift.

595

@Codingdidi

May 25, 2026, 05:13 AM

Job title: Machine learning engineer (Gen AI)

Location: Bangalore

experience: 4 To 7Years

Key responsibilities

- Advise clients on GenAI use cases, strategies, and provide feedback for product roadmap
- Evaluate and recommend suitable GenAI models and solutions for client’s problem statement
- Design and prototype GenAI features and applications, focusing on user needs and value
- Keep up with the latest advancements in AI technologies, including Gen AI and the latest features of popular tools (RAG)
- Collaborate with engineering and design teams to ensure successful product integration
- Collect, clean, and preprocess data using appropriate tools and libraries, ensuring compatibility with AI algorithms and frameworks
- Train, test, and evaluate AI models employing appropriate evaluation metrics
- Optimize and fine-tune models for performance, scalability and efficiency
- Implement and deploy AI solutions in production environments under different frameworks
- Ability to build applications and use appropriate prompting on generative AI models
- Strong experience in Natural Language Processing, Large Language Models, and RAG approaches
- Assess the ethical implications and risks associated with GenAI product deployments
- Support pre-sales activities by providing GenAI expertise and contributing to product roadmaps

Skills and attributes for success - To qualify for the role you must have

- Bachelor's /Master's degree in computer science, data science, engineering, or a related field.
- Strong hands-on background in AI, machine learning, deep learning, and statistical modeling
- Proficiency in programming languages such as Python, Java
- Strong understanding of existing GenAI services
- Strong understanding of data structures, algorithms and AI project lifecycle

Apply Link: https://artha.link/@codingdidi/jobs/machine-learning-engineer-edgeverve-bangalore-ddc7f30c

@Codingdidi

May 10, 2026, 03:41 PM

📎 File

📘 Big Data Analytics
━━━━━━━━━━━━━━━━━━

Theory, Techniques & Platforms

👨‍🏫 Authors:
• Ümit Demirbaga
• Gagangeet Singh Aujla
• Anish Jindal
• Oğuzhan Kalyon

━━━━━━━━━━━━━━━━━━
📌 What you’ll learn:
━━━━━━━━━━━━━━━━━━

✅ Big Data fundamentals
✅ Analytics concepts & theory
✅ Modern techniques & methodologies
✅ Big Data platforms & ecosystems
✅ Real-world analytical approaches

━━━━━━━━━━━━━━━━━━
🎯 Who should read this?
━━━━━━━━━━━━━━━━━━

• Data Analytics learners
• Big Data beginners
• Engineering / CS students
• Anyone exploring data-driven systems

━━━━━━━━━━━━━━━━━━
📥 Book shared below
━━━━━━━━━━━━━━━━━━

Happy learning 🚀
Stay consistent. Stay curious. 💡

1,670

@Codingdidi

May 10, 2026, 03:41 PM

🎯 MINI CHALLENGE #3

Task: Filter Excel data

Given: sales.xlsx with columns:
• Name
• Department
• Salary

Filter:
1. Department = 'IT'
2. Salary > 50000
3. Save to new file

Use pandas!

⏰ 20 minutes

Solution tomorrow 👀

Hint: Use df[condition]

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1,010

@Codingdidi

May 10, 2026, 03:41 PM

✅ CHALLENGE SOLUTION

import pandas as pd

df = pd.read_excel('sales.xlsx')

filtered = df[
(df['Department'] == 'IT') &
(df['Salary'] > 50000)
]

filtered.to_excel(
'filtered_sales.xlsx',
index=False
)

print(f"Found {len(filtered)} records")

💡 Tips:
• Use & for AND
• Use | for OR
• Use () around conditions

Kisne solve kiya? 🙋

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1,230

@Codingdidi

May 10, 2026, 03:41 PM

🎁 RESOURCE DROP!

Ultimate Python Cheatsheet:

📌 Data Types
📌 Loops & Conditions
📌 Functions
📌 File Handling
📌 Error Handling
📌 OOP Basics
📌 Common Libraries
📌 Best Practices

All in 1 PDF! 📄

Download link: [ https://www.dataquest.io/wp-content/uploads/2024/09/Python-Cheat-Sheet.pdf]

💾 Save kar lo!

Print karke desk pe rakho! 🖨

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1,450

@Codingdidi

May 10, 2026, 03:41 PM

🎯 LINKEDIN TIPS FOR DEVELOPERS

Profile optimize karo:

1️⃣ Headline:
"Python Developer | Automation Expert"
NOT "Student" or "Fresher"

2️⃣ Summary:
• What you do
• Skills (Python, pandas, etc)
• Projects (2-3 lines)

3️⃣ Featured:
• GitHub repos
• Projects
• Certificates

4️⃣ Post regularly:
• Python tips
• Mini tutorials

Clients LinkedIn se milte hain! 💼 for freelancing, for contractual jobs, for part time jobs

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@Codingdidi

May 10, 2026, 03:41 PM

🐍 PYTHON TRICK #4

❌ Beginner way:
fruits = ['apple', 'banana']
for i in range(len(fruits)):
print(i, fruits[i])

✅ Pro way:
for i, fruit in enumerate(fruits):
print(i, fruit)

💡 Cleaner + Pythonic!

Bonus with start:
for i, fruit in enumerate(fruits, start=1):
print(f"{i}. {fruit}")

Output:
1. apple
2. banana

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863

@Codingdidi

May 10, 2026, 03:41 PM

OJECT: WHATSAPP BOT (Part 1)

Setup karte hain!

Library: pywhatkit

Install:
pip install pywhatkit

Basic code:
import pywhatkit

pywhatkit.sendwhatmsg(
"+919876543210",
"Hello from Python!",
15, 30 # Time: 3:30 PM
)

⚠️ WhatsApp Web logged in hona chahiye!

Part 2 tomorrow 👀

Tap ❤️ , if you're interested in creating.

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@Codingdidi

May 10, 2026, 03:41 PM

🚀 WHATSAPP BOT (Part 2)

Bulk messages bhejenge!

import pywhatkit as kit
import time

contacts = [
"+919876543210",
"+919876543211"
]

message = "Sale Alert! 50% OFF"

for contact in contacts:
kit.sendwhatmsg_instantly(
contact, message
)
time.sleep(10)

💡 Use case:
• Business updates
• Birthday wishes
• Reminders

Questions? Ask! 💬

Tap ❤️ , if you're creating.

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@Codingdidi

May 10, 2026, 03:41 PM

🐍 PYTHON TRICK #3

❌ Risky way:
data = {'name': 'Raj'}
age = data['age'] # KeyError! 💥

✅ Safe way:
age = data.get('age', 'Not found')
print(age) # "Not found"

✅ Even better:
age = data.get('age', 25) # Default value

💡 No more KeyError crashes!

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@Codingdidi

May 10, 2026, 03:41 PM

🧠 SQL Interview Question (Commonly Asked)
📌

customers(customer_id, customer_name)

orders(order_id, customer_id, order_date, order_amount)

❓ Ques :

👉 Find customers who have at least one high-value order (order_amount > 10,000) AND at least one low-value order (order_amount < 1,000).

🧩 How Interviewers Expect You to Think

• Classify rows using CASE WHEN
• Aggregate conditionally instead of filtering rows
• Ensure both conditions exist for the same customer
• Use HAVING with conditional counts
• Avoid filtering in WHERE which removes needed rows

💡 SQL Solution

SELECT
c.customer_name
FROM orders o
JOIN customers c
ON o.customer_id = c.customer_id
GROUP BY c.customer_name
HAVING
SUM(CASE WHEN o.order_amount > 10000 THEN 1 ELSE 0 END) >= 1
AND SUM(CASE WHEN o.order_amount < 1000 THEN 1 ELSE 0 END) >= 1;

🔥 React ♥️ if you want more real-world SQL interview scenarios

683

@Codingdidi

Apr 28, 2026, 02:30 AM

🔤 A–Z of Programming 💻

A – Array
A data structure that stores a collection of elements of the same type, accessed by index.

B – Binary
A base-2 number system using 0s and 1s, the foundation of how computers represent data and perform operations.

C – Class
A blueprint in object-oriented programming for creating objects, defining attributes and methods.

D – Data Structure
An organization of data for efficient access and modification, like lists or trees.

E – Exception
An error or unexpected event during program execution that can be handled to prevent crashes.

F – Function
A reusable block of code that performs a specific task, often taking inputs and returning outputs.

G – Git
A version control system for tracking changes in code, enabling collaboration and history management.

H – HashMap/Hash Table
A data structure storing key-value pairs for fast lookups using hashing.

I – Inheritance
A mechanism where a class inherits properties and methods from a parent class in OOP.

J – JavaScript
A versatile language for web development, handling client-side interactivity and server-side with Node.js.

K – Keyword
A reserved word in a language with special meaning, like "if" or "for", not usable as variable names.

L – Loop
A control structure repeating code until a condition is met, such as for or while loops.

M – Modulus
An operator (%) returning the remainder of division, useful for cycles or checks.

N – Null
A special value indicating absence of data or no object reference.

O – Object
An instance of a class containing data (attributes) and behavior (methods) in OOP.

P – Pointer
A variable storing the memory address of another variable for direct access.

Q – Queue
A FIFO (First-In-First-Out) data structure for processing items in order.

R – Recursion
A function calling itself to solve smaller instances of a problem.

S – Stack
A LIFO (Last-In-First-Out) data structure, like a stack of plates.

T – Testing
Verifying a program's correctness through unit tests, integration, and more.

U – Unicode
A standard encoding characters from all writing systems for global text handling.

V – Variable
A named storage for data that can change during program execution.

W – While Loop
Repeats code while a condition remains true, offering flexible iteration.

X – XOR
A logical operator true if operands differ, used in cryptography and checks.

Y – Yield
A keyword returning a value from a generator, enabling lazy iteration.

Z – Zeroes (numpy.zeros)
Creates an array filled with zeros, useful for initialization.


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@Codingdidi

Apr 28, 2026, 02:30 AM

📌 SQL Subqueries CTEs

1️⃣ What is a Subquery?
A subquery is a query inside another query. It runs first and passes its result to the outer query.

Think like this 👇
> “First find something → then use it to filter or calculate something else”

Why Subqueries exist (business thinking)
Real questions like:
• Find customers who spent more than average
• Find products with highest sales
• Find employees earning more than their manager

These need one query’s result inside another query.

✅ Basic Subquery Structure
SELECT column
FROM text
WHERE column OPERATOR (
SELECT column
FROM text
);

Example Tables: orders
order_id | customer_id | amount
1 | 101 | 5000
2 | 102 | 8000
3 | 103 | 3000

2️⃣ Subquery in WHERE clause (Most Common)

🔹 Scenario: Find orders with amount greater than average order value

SELECT *
FROM orders
WHERE amount > (
SELECT AVG(amount)
FROM orders
);

What this query does
1. Inner query calculates average order amount
2. Outer query keeps only orders above that average

✅ Very common interview question

3️⃣ Subquery with IN
🔹 Scenario: Find customers who have placed at least one order

Tables: customers(customer_id, name) orders(customer_id)

SELECT name
FROM customers
WHERE customer_id IN (
SELECT customer_id
FROM orders
);

What this query does
• Inner query gets customers who ordered
• Outer query fetches their names

4️⃣ Subquery in SELECT clause

🔹 Scenario: Show each order with total number of orders
SELECT order_id, amount, (
SELECT COUNT(*)
FROM orders
) AS total_orders
FROM orders;

What this query does
• Inner query runs once
• Adds total order count to every row

⚠️ Use carefully — can be inefficient

5️⃣ Correlated Subquery (Important)

A correlated subquery depends on the outer query. It runs once per row.

🔹 Scenario: Find customers who spent more than their city’s average

Tables: customers(customer_id, city) orders(customer_id, amount)

SELECT c.customer_id
FROM customers c
WHERE (
SELECT AVG(o.amount)
FROM orders o
WHERE o.customer_id = c.customer_id
) > 5000;

What this query does
• For each customer
• Calculates their average spend
• Filters based on condition
⚠️ Powerful but slower on large data

6️⃣ Problems with Subqueries
❌ Hard to read
❌ Hard to debug
❌ Performance issues
❌ Nested logic becomes messy
👉 That’s why CTEs exist

7️⃣ What is a CTE (Common Table Expression)?

A CTE is a named temporary result.
It makes complex queries readable and reusable.

CTE Syntax
WITH cte_name AS (
SELECT ...
)
SELECT *
FROM cte_name;

8️⃣ Same Problem Solved Using CTE (Cleaner)

🔹 Find customers with total spend > 10,000

WITH customer_spend AS (
SELECT customer_id, SUM(amount) AS total_spend
FROM orders
GROUP BY customer_id
)
SELECT *
FROM customer_spend
WHERE total_spend > 10000;

What this does
• First block calculates spend
• Second block filters results
• Very readable

9️⃣ CTE vs Subquery

• Readability: CTE is excellent, Subquery is poor
• Reusability: CTE is yes, Subquery is no
• Debugging: CTE is easy, Subquery is hard
• Performance: Both depend on usage

🔟 When to Use What?
Use Subquery when:
✔️ Logic is small
✔️ Used only once

Use CTE when:
✔️ Logic is complex
✔️ Multiple steps
✔️ Interview or production query

Common Beginner Mistakes
❌ Writing very deep nested subqueries
❌ Using correlated subqueries unnecessarily
❌ Forgetting CTE scope (only valid for one query)

Interview Tip 💡
> Subqueries solve problems inside queries, while CTEs solve readability and maintainability.

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@Codingdidi

Apr 28, 2026, 02:30 AM

📊 WEEK 2 COMPLETE! 🔥

This week, we covered:
✅ F-strings seekhe
✅ Telegram freelancing tips
✅ VS Code extensions
✅ Web scraping intro
✅ Palindrome challenge

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@Codingdidi

Apr 28, 2026, 02:30 AM

These are top 5 data structures and algorithms projects, allowing you to dive deep into the world of DSA 💪🏻

•Project 1: Snakes Game (Arrays)

The Snakes Game project is a classic implementation of the popular game
Snake.

This project allows you to understand the concepts of arrays, loops, and conditional statements. You can further enhance the game by incorporating additional features such as score tracking and power-ups.

•Project 2: Cash Flow Minimizer (Graphs/ Multisets/Heaps)

The Cash Flow Minimizer project involves solving a cash flow optimization problem using graphs, multisets, and heaps. Given a set of transactions among a group of people, the objective is to minimize the total number of transactions required to settle all debts

•Project 3: Sudoku Solver (Backtracking)

The Sudoku Solver project aims to solve the popular Sudoku puzzle using backtracking. This project allows you to understand the backtracking algorithm, which is widely used in solving constraint satisfaction problems.

•Project 4: File Zipper (Greedy Huffman
Encoder)

The File Zipper project focuses on implementing a file compression utility using the Greedy Huffman encoding algorithm. This project provides a practical application of the greedy algorithm and helps you understand the trade-offs between
compression ratio and execution time.

•Project 5: Map Navigator (Dijkstra’s
Algorithm)

The Map Navigator project aims to develop a navigation system using Dijkstra’s algorithm. It involves finding the shortest path between two locations on a map, considering factors such as distance and traffic.

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@Codingdidi

Apr 28, 2026, 02:30 AM

💡 REAL STORY

6 months ago:
❌ No Python knowledge
❌ No freelancing experience
❌ ₹0 earning

Today:
✅ 20+ projects completed
✅ ₹45,000+ total earned
✅ 3 regular clients

Secret? CONSISTENCY.

Daily:
• 2 hours learning
• 1 hour applying for jobs
• 3 hours working

Tum bhi kar sakte ho! 💪

Kisne start kiya? 🙋

#Motivation #Success #CodingDidi

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@Codingdidi

Apr 28, 2026, 02:30 AM

The Smartest Career Upgrade in 2026: Google AI Professional Certificate

The Google AI Professional Certificate equips working professionals with practical skills to integrate AI into their daily work through a modular, hands-on design.

Content: 6 short courses and a capstone project.

Tools Used: Gemini, NotebookLM, and AI Studio.

Outcome: Learners build custom AI-powered solutions and earn a certificate trusted by leading employers.

Exclusive Benefit: Learners receive three months of no-cost access to Google AI Pro to practice within tools like Gmail and Google Docs.

Master AI by Doing: Over 20 hands-on labs solving real-world problems.

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Future-Proofing: Helps professionals stay ahead in a fast-changing environment by learning directly from Google experts.

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677

@Codingdidi

Apr 28, 2026, 02:30 AM

🎯 MINI CHALLENGE #2

Write a function to check if a word is palindrome!

Example:
• "racecar" → True
• "hello" → False
• "madam" → True

Bonus: Ignore spaces & case
"A man a plan a canal Panama" → True

⏰ Time: 15 minutes

Try krke Done Reply karo

Solution tomorrow! 👀

#CodingChallenge #Python

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684

@Codingdidi

Apr 28, 2026, 02:30 AM

📚 WEB SCRAPING 101

Simple example - Scrape website titles:

import requests
from bs4 import BeautifulSoup

url = "https://example.com"
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')

title = soup.find('h1').text
print(title)

Libraries needed:
• requests
• beautifulsoup4

Install: pip install requests beautifulsoup4

Full tutorial chahiye? 👀

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719

@Codingdidi

Apr 10, 2026, 11:32 AM

💰 EARNING TIP #2

Telegram groups se kaam milta hai!

Join these groups:
📌 "Freelance Jobs India"
📌 "Python Developers India"
📌 "Remote Jobs India"
📌 "Startup Jobs"

Tips:
✅ Active raho daily
✅ DM directly (don't spam)
✅ Share portfolio
✅ Build trust

Maine personally ₹8K ka project liya tha!

Note: For telegram you guys needs to be really active, remember to not to pay.

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737

@Codingdidi

Apr 10, 2026, 11:32 AM

🎯 MUST-HAVE VS CODE EXTENSIONS

1️⃣ Python (Microsoft) - Auto-complete
2️⃣ Pylance - Fast IntelliSense
3️⃣ autoDocstring - Auto documentation
4️⃣ Better Comments - Colorful comments
5️⃣ Error Lens - Inline errors
6️⃣ Material Icon Theme - Beautiful icons

Install karo aur coding 10x better! 💪

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